Cleared Hybrid QA Tester/Engineer (5416)
$86,000–$123,000 year
On-siteHanover, Maryland, United States
Job Summary
Design, develop, and maintain comprehensive test plans, test cases, and scripts for web applications, APIs, and cloud-native solutions. Execute manual and automated testing including functional, regression, integration, performance, and security testing, with a focus on validating AI-enabled applications, machine learning integrations, and large language model implementations. Build automated test frameworks using Selenium, Playwright, or TriCentis, and integrate these into CI/CD pipelines to support continuous delivery. Collaborate with developers, product owners, and stakeholders to understand requirements, while identifying, tracking, and managing defects through Jira or similar tools. Validate data integrity using SQL queries and ensure compliance with cybersecurity requirements. Support Agile/Scrum ceremonies and contribute to sprint planning and quality improvement initiatives. Requires a Bachelor's degree, five years of experience, and secret clearance. Salary range $86,000–$123,000.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
- Minimum 5 years of professional experience as a QA Tester, QA Engineer, Software Tester, or similar role
- Demonstrated experience developing and executing test plans and test cases for enterprise applications
- Strong knowledge of software QA methodologies, testing types, and quality processes
- Hands-on experience with test automation tools such as: Selenium, Playwright, TriCentis, or equivalent frameworks
- Experience with bug tracking and test management tools (Jira, Bugzilla, TestRail, Zephyr, or similar)
- Experience performing API testing using Postman or similar tools
- Working knowledge of scripting or programming languages such as Python, JavaScript, or Java
- Experience with SQL for database testing and data validation
- Understanding of Agile/Scrum methodologies and software development lifecycle (SDLC)
- Strong analytical, troubleshooting, and problem-solving skills with keen attention to detail
- Excellent written and verbal communication skills
- Secret clearance
Desired Qualifications
- Experience testing AI-powered applications, generative AI integrations, or machine learning systems
- Experience testing cloud-native applications deployed in AWS environments
- Familiarity with CI/CD pipelines, DevSecOps practices, and integration of automated tests into deployment workflows
- Experience with performance testing tools (JMeter, LoadRunner, or similar)
- Experience with security testing concepts and vulnerability assessment
- Knowledge of containerization technologies and testing containerized applications
- Experience with behavior-driven development (BDD) frameworks such as Cucumber
- Experience supporting federal or DoD environments
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